{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T00:37:23Z","timestamp":1777509443606,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,10,31]],"date-time":"2016-10-31T00:00:00Z","timestamp":1477872000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"U.S. National Science Foundation","award":["1429699,1443080"],"award-info":[{"award-number":["1429699,1443080"]}]},{"name":"the National Nuclear Security Agency of the Department of Energy through the Consortium for Nonproliferation Enabling Capabilities","award":["DE-NA0002576"],"award-info":[{"award-number":["DE-NA0002576"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,10,31]]},"DOI":"10.1145\/2996913.2996984","type":"proceedings-article","created":{"date-parts":[[2016,12,22]],"date-time":"2016-12-22T21:20:29Z","timestamp":1482441629000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Data depth based clustering analysis"],"prefix":"10.1145","author":[{"given":"Myeong-Hun","family":"Jeong","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaping","family":"Cai","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clair J.","family":"Sullivan","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaowen","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,10,31]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33783-3_16"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/304182.304187"},{"key":"e_1_3_2_1_3_1","first-page":"1027","volume-title":"Proc. of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA '07","author":"Arthur D.","year":"2007","unstructured":"D. Arthur and S. Vassilvitskii . K-means++: The advantages of careful seeding . In Proc. of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA '07 , pages 1027 -- 1035 , Philadelphia, PA, USA , 2007 . D. Arthur and S. Vassilvitskii. K-means++: The advantages of careful seeding. In Proc. of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA '07, pages 1027--1035, Philadelphia, PA, USA, 2007."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71618-1_82"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2006.01.013"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICISIP.2004.1287631"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.2174\/2213275910801030219"},{"key":"e_1_3_2_1_8_1","first-page":"160","volume-title":"Density-based clustering based on hierarchical density estimates","author":"Campello R. J. G. B.","year":"2013","unstructured":"R. J. G. B. Campello , D. Moulavi , and J. Sander . Density-based clustering based on hierarchical density estimates , pages 160 -- 172 . Springer Berlin Heidelberg, Berlin , Heidelberg , 2013 . R. J. G. B. Campello, D. Moulavi, and J. Sander. Density-based clustering based on hierarchical density estimates, pages 160--172. Springer Berlin Heidelberg, Berlin, Heidelberg, 2013."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.04.003"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1983.1056714"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.95.25.14863"},{"key":"e_1_3_2_1_12_1","first-page":"226","volume-title":"Proc. of Second International Conferene on Knowledge Discovery and Data Mining","volume":"96","author":"Ester M.","year":"1996","unstructured":"M. Ester , H.-P. Kriegel , J. Sander , and X. Xu . A density-based algorithm for discovering clusters in large spatial databases with noise . In Proc. of Second International Conferene on Knowledge Discovery and Data Mining , volume 96 , pages 226 -- 231 , 1996 . M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proc. of Second International Conferene on Knowledge Discovery and Data Mining, volume 96, pages 226--231, 1996."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214502760047131"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2008.32"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.2307\/2346830"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01908075"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289588"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2004.02.013"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0131469"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.5120\/15890-5059"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1348\/000711005X68174"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00362-012-0488-4"},{"key":"e_1_3_2_1_23_1","volume-title":"MLBENCH: Machine Learning Benchmark Problems","author":"Leisch F.","year":"2010","unstructured":"F. Leisch and E. Dimitriadou . MLBENCH: Machine Learning Benchmark Problems , 2010 . R package version 2.1--1. F. Leisch and E. Dimitriadou. MLBENCH: Machine Learning Benchmark Problems, 2010. R package version 2.1--1."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1993.10594317"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2006.11.013"},{"key":"e_1_3_2_1_26_1","volume-title":"Springer Berlin Heidelberg","author":"Mosler K.","year":"2013","unstructured":"K. Mosler . Robustness and Complex Data Structures, chapter Depth Statistics, pages 17--34 . Springer Berlin Heidelberg , Berlin, Heidelberg , 2013 . K. Mosler. Robustness and Complex Data Structures, chapter Depth Statistics, pages 17--34. Springer Berlin Heidelberg, Berlin, Heidelberg, 2013."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00357-014-9161-z"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2002.1033770"},{"key":"e_1_3_2_1_29_1","unstructured":"OpenDroneMap. OpenDroneMap benchmark dataset. https:\/\/opendronemap.github.io\/odm\/ 2010. Accessed: 2016-06-24.  OpenDroneMap. OpenDroneMap benchmark dataset. https:\/\/opendronemap.github.io\/odm\/ 2010. Accessed: 2016-06-24."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/78.127962"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1090\/dimacs\/072\/01"},{"key":"e_1_3_2_1_33_1","first-page":"523","volume-title":"Proc. of the International Congress of Mathematicians","volume":"2","author":"Tukey J. W.","year":"1975","unstructured":"J. W. Tukey . Mathematics and the picturing of data . In Proc. of the International Congress of Mathematicians , volume 2 , pages 523 -- 531 , 1975 . J. W. Tukey. Mathematics and the picturing of data. In Proc. of the International Congress of Mathematicians, volume 2, pages 523--531, 1975."},{"key":"e_1_3_2_1_34_1","volume-title":"Introduction to robust estimation and hypothesis testing","author":"Wilcox R. R.","year":"2012","unstructured":"R. R. Wilcox . Introduction to robust estimation and hypothesis testing . Academic Press , 2012 . R. R. Wilcox. Introduction to robust estimation and hypothesis testing. Academic Press, 2012."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2016.01.003"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1016218226"}],"event":{"name":"SIGSPATIAL'16: 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","location":"Burlingame California","acronym":"SIGSPATIAL'16"},"container-title":["Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2996913.2996984","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2996913.2996984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:39:40Z","timestamp":1750217980000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2996913.2996984"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,31]]},"references-count":36,"alternative-id":["10.1145\/2996913.2996984","10.1145\/2996913"],"URL":"https:\/\/doi.org\/10.1145\/2996913.2996984","relation":{},"subject":[],"published":{"date-parts":[[2016,10,31]]},"assertion":[{"value":"2016-10-31","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}